AI Development Intern

About the Role

Are you passionate about Artificial Intelligence, automation, and digital transformation? Do you want to gain hands-on experience applying cutting-edge AI technologies in a global pharmaceutical manufacturing environment?

At Novartis Schweizerhalle, we are accelerating our digitalisation journey across IT, Operational Technology (OT), manufacturing, quality, and business functions. As an AI Agent Development Intern / Working Student, you will work directly with IT/OT experts and business stakeholders to design, build, test, and improve AI agents using Microsoft Copilot and the Microsoft 365 ecosystem.

This is a unique opportunity to gain practical experience with enterprise AI technologies while contributing to real-world solutions that improve productivity, knowledge access, and operational excellence. Your work will help shape how AI is adopted across a highly regulated pharmaceutical manufacturing environment. The role structure and employer branding elements align with current Novartis job posting guidance and templates.

Part-time role - 24 hours/week

Key Responsibilities

As part of the local IT/OT and Digitalisation team, you will:

• Design, configure, and test AI agents using Microsoft Copilot, Copilot Studio, and related Microsoft 365 technologies.
• Collaborate with business stakeholders to identify opportunities where AI agents can improve processes, knowledge management, and decision-making.
• Support the development of prompt libraries, workflows, and automation solutions using Microsoft Power Platform technologies.
• Analyze business processes and translate user requirements into scalable AI-driven solutions.
• Assist in validating AI agent performance, usability, and reliability through structured testing and user feedback.
• Support data analysis activities to identify trends, opportunities, and improvement areas.
• Create user documentation, training materials, and demonstrations to promote AI adoption across the site.
• Work closely with IT, OT, Quality, Engineering, and Manufacturing teams to ensure solutions align with business requirements and compliance expectations.
• Stay informed about emerging AI, Copilot, and automation capabilities and contribute ideas for future digital innovation initiatives.
• Contribute to a culture of continuous improvement, experimentation, and responsible AI adoption.

Essential Requirements

• Currently enrolled in the final year of a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, Business Informatics, Digital Transformation, or a related field.
• Strong interest in Artificial Intelligence, Generative AI, and digital technologies.
• Basic understanding of Microsoft 365 technologies and cloud-based solutions.
• Knowledge of data analysis, process mapping, or automation concepts.
• Experience with programming, scripting, or low-code/no-code tools through academic projects, internships, or personal initiatives.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and collaboration skills.
• Fluency in English.

Desirable Qualifications

• Experience with Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, or Microsoft Azure services.
• Familiarity with prompt engineering, AI agent design, or chatbot development.
• Understanding of manufacturing, pharmaceutical, engineering, or regulated industry environments.
• Experience working with structured and unstructured data sources.
• Knowledge of responsible AI principles and human-centered design approaches.
• German language skills are considered an advantage.

What You Will Learn

During this assignment, you will have the opportunity to:

• Work with some of the most advanced enterprise AI technologies available today.
• Gain practical experience building AI agents that deliver measurable business value.
• Collaborate with experienced IT/OT professionals, engineers, and business leaders.
• Develop skills in AI solution design, automation, data analysis, and stakeholder management.
• Understand how digital transformation and AI are implemented within a global pharmaceutical manufacturing organization.
• Build a professional network within Novartis and gain exposure to real-world innovation projects.